OpenAI

OpenAI: Text Embedding 3 Small

Embedding
openai/text-embedding-3-small
ComparerCommencer

text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

Fenêtre de contexte
8K
Tokens de sortie max
8K
Publié
2025-10-30
Fournisseurs disponibles
AzureAzure
Protocoles supportés
OpenAIopenai

Providers

AzureAzure
Tokens d'entrée
$0.02/M
Tokens de sortie
$0/M
Protocols
OpenAIopenai/v1/embeddings

Exemples de code

from openai import OpenAI


client = OpenAI(
    base_url="https://api.ofox.io/v1",
    api_key="YOUR_OFOX_API_KEY",
)


response = client.embeddings.create(
    model="openai/text-embedding-3-small",
    input="Hello, world!",
)


print(response.data[0].embedding[:5])

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Questions fréquentes

OpenAI: Text Embedding 3 Small sur Ofox.ai coûte $0.02/M par million de tokens d'entrée et $0 par million de tokens de sortie. Paiement à l'usage, sans frais mensuels.